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Paper Citation Record · LEDGER

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.07238.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.07238 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:38:09.720726Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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  • verified fuzzy2
  • unresolved11
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20752fcf-d95c-4c68-8a6b-aa05603206af · outbound

This paper cites Systematic Evaluation of Optimization Techniques for Long-Context Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Systematic Evaluation of Optimization Techniques for Long-Context Language Models

Reference 1

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local_arxiv, observed 2026-08-04T22:38:10.051118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.641706Z digest=sha256:0f2721bfb6c6f440971a9a543fd1737f737a8435121a8c2a063b1c55e894ba45

Observation 511bab22-5c23-4def-b9ef-fabc79e19abd · outbound

This paper cites Trimer: Balancing efficiency and accuracy in mathematical reasoning through a three-stage llm pipeline.ACL ARR 2025 Submission, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Trimer: Balancing efficiency and accuracy in mathematical reasoning through a three-stage llm pipeline.ACL ARR 2025 Submission, 2025

Reference 2

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raw_fallback, observed 2026-08-04T22:38:10.077832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.646465Z digest=sha256:75c6c54cdc036eaf217e0cb9e652f708ee21b61c5701845c86b2a5494af8a310

Observation 19869428-9084-4ec2-bc5c-3a0676ba0d7f · outbound

This paper cites BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning BAdam: A Memory Efficient Full Parameter Optimization Method for Large Language Models

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.650570Z digest=sha256:74583e34b60e5ab84d43edd635bd7e87a045cd2be5ef72912ad065367ad7672a

Observation 238e251c-24b1-4d59-82da-23d5d43a8f14 · outbound

This paper cites Optimization Hyper-parameter Laws for Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Optimization Hyper-parameter Laws for Large Language Models

Reference 4

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local_arxiv, observed 2026-08-04T22:38:10.019370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.654884Z digest=sha256:ea5da837bb2e96afe899ff14fca1cfb58ff88d72307a26ec4e891116e750e6f9

Observation dba467cc-bb5f-43a1-bfc2-f9d1239fa6ff · outbound

This paper cites Scalable llm math reasoning accel- eration with low-rank distillation.arXiv preprint arXiv:2505.07861, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Scalable llm math reasoning accel- eration with low-rank distillation.arXiv preprint arXiv:2505.07861, 2025

Reference 5

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arxiv_id, observed 2026-08-04T22:38:10.000579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.659038Z digest=sha256:ce614d65674ebf5a633ba262f79fa60ce0112a1bd1a4f334fde42de010827c98

Observation 46fccf05-53ed-48f0-bd3b-a7666fc52115 · outbound

This paper cites Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.663186Z digest=sha256:cff672628ddd49a6b08c0cb4e6d036b93f6160eb1dc12abed1f6c74920da8171

Observation d1bea2ee-e3b9-4522-8bad-da9e99780a2b · outbound

This paper cites Causal sufficiency and necessity improves chain-of-thought reasoning.arXiv preprint arXiv:2506.09853, 2025.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Causal sufficiency and necessity improves chain-of-thought reasoning.arXiv preprint arXiv:2506.09853, 2025

Reference 7

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source=pdf_text observed=2026-08-04T22:38:09.667743Z digest=sha256:e07af27a9db8c0571d104a34a94ecabea14d615ab57991782022515343641805

Observation 05a53867-a68e-40a1-8dca-8386453e0995 · outbound

This paper cites Parameter-efficient fine-tuning of large language models using semantic knowledge tuning.Nature Scientific Reports, 14:28341, 2024.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Parameter-efficient fine-tuning of large language models using semantic knowledge tuning.Nature Scientific Reports, 14:28341, 2024

Reference 8

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raw_fallback, observed 2026-08-04T22:38:10.064308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e63bdd9a-c6e8-44f5-9c6f-90ef31729b56 · outbound

This paper cites Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Towards Efficient Mixture of Experts: A Holistic Study of Compression Techniques

Reference 9

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no resolver link, observed 2026-08-04T22:38:09.674796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.674796Z digest=sha256:dc76b58e4945e5cfc2e9479579b66978c0c913162b0fc3bf1486df5dcf2daefa

Observation 60680105-a472-43c8-b7f0-5b77bd2c82f4 · outbound

This paper cites Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning

Reference 10

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Observation a4a652a3-d0b7-415b-8ea6-302ed9c82e49 · outbound

This paper cites Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 11

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Observation 7f7966e5-2a9a-41cc-9925-8ae92413889f · outbound

This paper cites Efficient LLM Collaboration via Planning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Efficient LLM Collaboration via Planning

Reference 12

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no resolver link, observed 2026-08-04T22:38:09.686160Z

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source=pdf_text observed=2026-08-04T22:38:09.686160Z digest=sha256:5f10a7f548f86f169f3179fffd3559c501e707000f28315741fa15e19188c6a5

Observation 657682a9-2678-4812-9b3b-c97d4261db91 · outbound

This paper cites Large Language Model Agent for Hyper-Parameter Optimization.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Large Language Model Agent for Hyper-Parameter Optimization

Reference 13

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source=pdf_text observed=2026-08-04T22:38:09.690190Z digest=sha256:9c9a20d60c55cd99b26de70fd08025f9d2121d9d57c3589504b8373b72f9af94

Observation 85123f9d-9b55-454f-810a-8ff63fcd2755 · outbound

This paper cites Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Federated Prompting and Chain-of-Thought Reasoning for Improving LLMs Answering

Reference 14

Resolution
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local_arxiv, observed 2026-08-04T22:38:09.883222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.693943Z digest=sha256:a1a786b653783434eabb33b55b068cc52494a2dbd9b60a050067133e193fe0a7

Observation 18cef488-5607-4506-b996-fac7f1103f0c · outbound

This paper cites General Purpose Verification for Chain of Thought Prompting.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning General Purpose Verification for Chain of Thought Prompting

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:38:09.864429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.697619Z digest=sha256:12833e80ee433de492ab1249d8127c04883d0a9d274c777969c588db714d85ed

Observation 62b85f45-097d-4967-842e-f17da12dc59b · outbound

This paper cites LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought

Reference 16

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no resolver link, observed 2026-08-04T22:38:09.701285Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.701285Z digest=sha256:58aef8b6e0f563c23289e4577e0e56c1c6b5fd4c9438a89ba8bbfec1551efeef

Observation 1879073b-6003-4035-9ee2-eb66307caf54 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 17

Resolution
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no resolver link, observed 2026-08-04T22:38:09.705015Z

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source=pdf_text observed=2026-08-04T22:38:09.705015Z digest=sha256:d074a830257272ef15330978f17c6a24f455ef28b6e7633418bde3d6ffef8c0b

Observation c00f515d-f0fa-4f3f-9ca7-8bfcb4ff5411 · outbound

This paper cites Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic

Reference 18

Resolution
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local_arxiv, observed 2026-08-04T22:38:09.819013Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.709180Z digest=sha256:dc75858718d57acf22639d8c78c177bb029cdec4eb2f6f833d8e777f0c20f85e

Observation 8d054633-66bc-4e3b-8232-a2af451a246c · outbound

This paper cites A Post-Training Enhanced Optimization Approach for Small Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning A Post-Training Enhanced Optimization Approach for Small Language Models

Reference 19

Resolution
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local_arxiv, observed 2026-08-04T22:38:09.800559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.713051Z digest=sha256:ca932e909757e8f2f9ab9943b5d52c96fc359bcb54750d7fe2d877bf1217ff86

Observation bfcce564-04db-408a-81aa-fe6dc87471c8 · outbound

This paper cites Comat: Chain of mathematically annotated thought improves mathematical reasoning.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Comat: Chain of mathematically annotated thought improves mathematical reasoning

Reference 20

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arxiv_id, observed 2026-08-04T22:38:09.781214Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T22:38:09.716824Z digest=sha256:7c6493599d2e4baa1fb9ff5ba8c28bea73b29efd590f5cc5fbd4aacea81f70d1

Observation 26777e04-4dac-41cf-82cc-49bc4d32ffb1 · outbound

This paper cites Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:38:09.720726Z digest=sha256:5331541acee613c47426cd39ad7ab79ffdc4d3ea7518df5dd9edf274aa4c800e

Pith citing papers

No inbound Pith citation observations are available.